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L. Liu, G. H. Huang, Y. Liu, G. A. Fuller and G. M. Zeng, “A Fuzzy-Stochastic Robust Programming Model for Regional Air Quality Management under Uncertainty,” Engineering Optimization, Vol. 35, No. 2, 2003, pp. 177-199. doi:10.1080/0305215031000097068

has been cited by the following article:

• TITLE: An Interval-parameter Fuzzy Robust Nonlinear Programming Model for Water Quality Management

  AUTHORS: Min Liu, Guoxin Nie, Ming Hu, Renfei Liao, Yangshuo Shen

  KEYWORDS: Water Quality Management; Interval Programming; Fuzzy Robust Programming; Nonlinear Programming; Uncertainty

  JOURNAL NAME: Journal of Water Resource and Protection, Vol.5 No.1, January 23, 2013

  ABSTRACT: Planning for water quality management is important for facilitating sustainable socio-economic development; however, the planning is also complicated by a variety of uncertainties and nonlinearities. In this study, an interval-parameter fuzzy robust nonlinear programming (IFRNP) model was developed for water quality management to deal with such difficulties. The developed model incorporated interval nonlinear programming (INP) and fuzzy robust programming (FRP) methods within a general optimization framework. The developed IFRNP model not only could explicitly deal with uncertainties represented as discrete interval numbers and fuzzy membership functions, but also was able to deal with nonlinearities in the objective function.